Summary of Study ST004147

This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR002609. The data can be accessed directly via it's Project DOI: 10.21228/M8DG1T This work is supported by NIH grant, U2C- DK119886.

See: https://www.metabolomicsworkbench.org/about/howtocite.php

This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.

Perform statistical analysis  |  Show all samples  |  Show named metabolites  |  Download named metabolite data  
Download mwTab file (text)   |  Download mwTab file(JSON)   |  Download data files (Contains raw data)
Study IDST004147
Study TitleUrinary Multi-Omics Signatures of Preterm Premature Rupture of Membranes: Insights into Microbial and Metabolic Biomarkers
Study SummaryPreterm premature rupture of membranes (PPROM) is a significant obstetric complication, often associated with infection-related processes. However, the underlying mechanisms remain poorly understood, particularly regarding the interplay between microbial dysbiosis and host metabolism. To address this, urine samples from women with PPROM and healthy controls were analyzed using 16S rRNA gene sequencing and ¹H NMR-based metabolomics. Microbiota analysis revealed increased abundance of Hoylesella, Escherichia, Pseudomonas, and Enterococcus in the PPROM group, whereas Lactobacillus and Limosilactobacillus dominated in controls. Metabolomics identified key metabolites with diagnostic potential. Receiver operating characteristic (ROC) analysis showed that hippurate, formate, citrate, glycolate, serine, valine, and isoleucine had high discriminatory accuracy (AUC > 0.7), while β-glucose, asparagine, pyroglutarate, 2-hydroxyglutarate, tyrosine, creatinine, and imidazole had moderate predictive power. The PPROM group exhibited increased valine, isoleucine, asparagine, and β-glucose, while others decreased compared to controls. Multi-omics integration revealed robust correlations between specific bacterial species and urinary metabolites, suggesting interactions between microbial dysbiosis and host metabolic pathways. These findings demonstrate distinct microbial and metabolic signatures in the urine of women with PPROM and support the utility of urinary multi-omics analysis in advancing understanding of PPROM pathophysiology.
Institute
Inonu University Department of Biomedical Eng.
Last NameDogan
First NameBerat
AddressUniversite Mah. Muhendislik Fakultesi F-Blok No:1-1, Battalgazi, Malatya, 44280, Turkey
Emailberat.dogan@inonu.edu.tr
Phone+90 422 3774908
Submit Date2025-08-19
Raw Data AvailableYes
Raw Data File Type(s)fid
Analysis Type DetailNMR
Release Date2025-10-08
Release Version1
Berat Dogan Berat Dogan
https://dx.doi.org/10.21228/M8DG1T
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

Select appropriate tab below to view additional metadata details:

Project:

Project ID:PR002609
Project DOI:doi: 10.21228/M8DG1T
Project Title:Urinary Multi-Omics Signatures of Preterm Premature Rupture of Membranes: Insights into Microbial and Metabolic Biomarkers
Project Summary:Preterm premature rupture of membranes (PPROM) is a significant obstetric complication, often associated with infection-related processes. However, the underlying mechanisms remain poorly understood, particularly regarding the interplay between microbial dysbiosis and host metabolism. To address this, urine samples from women with PPROM and healthy controls were analyzed using 16S rRNA gene sequencing and ¹H NMR-based metabolomics. Microbiota analysis revealed increased abundance of Hoylesella, Escherichia, Pseudomonas, and Enterococcus in the PPROM group, whereas Lactobacillus and Limosilactobacillus dominated in controls. Metabolomics identified key metabolites with diagnostic potential. Receiver operating characteristic (ROC) analysis showed that hippurate, formate, citrate, glycolate, serine, valine, and isoleucine had high discriminatory accuracy (AUC > 0.7), while β-glucose, asparagine, pyroglutarate, 2-hydroxyglutarate, tyrosine, creatinine, and imidazole had moderate predictive power. The PPROM group exhibited increased valine, isoleucine, asparagine, and β-glucose, while others decreased compared to controls. Multi-omics integration revealed robust correlations between specific bacterial species and urinary metabolites, suggesting interactions between microbial dysbiosis and host metabolic pathways. These findings demonstrate distinct microbial and metabolic signatures in the urine of women with PPROM and support the utility of urinary multi-omics analysis in advancing understanding of PPROM pathophysiology.
Institute:Inonu University Department of Biomedical Eng.
Last Name:Dogan
First Name:Berat
Address:Universite Mah. Muhendislik Fakultesi F-Blok No:1-1, Battalgazi, Malatya, 44280, Turkey
Email:berat.dogan@inonu.edu.tr
Phone:+90 422 3774908

Subject:

Subject ID:SU004297
Subject Type:Human
Subject Species:Homo sapiens
Taxonomy ID:9606
Gender:Female

Factors:

Subject type: Human; Subject species: Homo sapiens (Factor headings shown in green)

mb_sample_id local_sample_id Sample source Group Injection order
SA480180Control_1urine Control 1
SA480181Control_15urine Control 10
SA480182Control_16urine Control 11
SA480183Control_17urine Control 12
SA480184Control_19urine Control 13
SA480185Control_22urine Control 14
SA480186Control_23urine Control 15
SA480187Control_25urine Control 16
SA480188Control_26urine Control 17
SA480189Control_27urine Control 18
SA480190Control_28urine Control 19
SA480191Control_2urine Control 2
SA480192Control_30urine Control 20
SA480193Control_31urine Control 21
SA480194Control_32urine Control 22
SA480195Control_33urine Control 23
SA480196Control_36urine Control 24
SA480197Control_37urine Control 25
SA480198Control_38urine Control 26
SA480199Control_39urine Control 27
SA480200Control_40urine Control 28
SA480201Control_42urine Control 29
SA480202Control_5urine Control 3
SA480203Control_43urine Control 30
SA480204Control_45urine Control 31
SA480205Control_46urine Control 32
SA480206Control_47urine Control 33
SA480207Control_48urine Control 34
SA480208Control_49urine Control 35
SA480209Control_50urine Control 36
SA480210Control_51urine Control 37
SA480211Control_52urine Control 38
SA480212Control_53urine Control 39
SA480213Control_6urine Control 4
SA480214Control_54urine Control 40
SA480215Control_55urine Control 41
SA480216Control_56urine Control 42
SA480217Control_A1urine Control 43
SA480218Control_A2urine Control 44
SA480219Control_A3urine Control 45
SA480220Control_7urine Control 5
SA480221Control_9urine Control 6
SA480222Control_12urine Control 7
SA480223Control_13urine Control 8
SA480224Control_14urine Control 9
SA480225PPROM_2urine PPROM 46
SA480226PPROM_4urine PPROM 47
SA480227PPROM_5urine PPROM 48
SA480228PPROM_6urine PPROM 49
SA480229PPROM_7urine PPROM 50
SA480230PPROM_8urine PPROM 51
SA480231PPROM_9urine PPROM 52
SA480232PPROM_10urine PPROM 53
SA480233PPROM_11urine PPROM 54
SA480234PPROM_12urine PPROM 55
SA480235PPROM_13urine PPROM 56
SA480236PPROM_14urine PPROM 57
SA480237PPROM_16urine PPROM 58
SA480238PPROM_17urine PPROM 59
SA480239PPROM_18urine PPROM 60
SA480240PPROM_19urine PPROM 61
SA480241PPROM_21urine PPROM 62
SA480242PPROM_22urine PPROM 63
SA480243PPROM_24urine PPROM 64
SA480244PPROM_25urine PPROM 65
SA480245PPROM_26urine PPROM 66
SA480246PPROM_27urine PPROM 67
SA480247PPROM_29urine PPROM 68
SA480248PPROM_31urine PPROM 69
SA480249PPROM_32urine PPROM 70
SA480250PPROM_33urine PPROM 71
SA480251PPROM_34urine PPROM 72
SA480252PPROM_35urine PPROM 73
SA480253PPROM_36urine PPROM 74
SA480254PPROM_37urine PPROM 75
SA480255PPROM_38urine PPROM 76
SA480256PPROM_A1urine PPROM 77
SA480257PPROM_A2urine PPROM 78
Showing results 1 to 78 of 78

Collection:

Collection ID:CO004290
Collection Summary:Urine samples were collected from PPROM patients admitted to the Department of Obstetrics and Gynecology at Inönü University Turgut Özal Medical Center and healthy pregnant women without preterm labor as controls. For each participant, samples were collected in two separate tubes for metagenomics and metabolomics analyses and stored at –80°C until processing. Ethical approval was obtained from the Malatya Clinical Research Ethics Committee (2020/91), and all participants provided written informed consent. PPROM diagnosis was confirmed by amniotic fluid leakage observed during a sterile speculum exam or a positive AmniSure test. Exclusion criteria included systemic diseases (e.g., hypertension, diabetes), pregnancy complications (e.g., gestational diabetes, hypertensive disorders), fetal anomalies, prior urogenital surgery, urolithiasis, congenital anomalies, signs of acute fetal distress, or recent antibiotic/probiotic use within one month. Control participants were healthy pregnant women without systemic disease, preterm labor, vaginal bleeding, or recent antibiotic/probiotic exposure. To prevent contamination, urine was collected via sterile catheterization and immediately stored at –80°C.
Sample Type:Urine

Treatment:

Treatment ID:TR004306
Treatment Summary:Urine samples stored at –80°C were thawed at room temperature before ¹H NMR analysis. Each 400 µL sample was mixed with 200 µL of phosphate buffer (0.2 M Na₂HPO₄ and 0.2 M KH₂PO₄ in D₂O, pH 7.4) for pH stabilization and field-frequency locking. The mixture was centrifuged at 5000 × g for 5 minutes at 5°C, and 550 µL of the supernatant was transferred into 5 mm NMR tubes.

Sample Preparation:

Sampleprep ID:SP004303
Sampleprep Summary:Analyses were performed using a Bruker Avance III HD 600 MHz spectrometer (Bruker GmBH, Germany) with a 5 mm broadband BBO probehead (¹H/¹³C/¹⁵N) at the Inönü University Scientific and Technological Research Center. Sample and probe temperatures were stabilized at 296 K with a Bruker Cooling Unit (BCU). The ¹D-NOESY-presaturation (noesygppr1d, Bruker) pulse sequence (RD ‒ 180° ‒ {mixing} ‒ 90° ‒ FID) was applied to suppress water and protein-derived signals. The spectra were recorded with a spectral width of 7002.8 Hz, 32 K data points, and a 40 ms mixing time. Additionally, weak presaturation pulses (1.1E-4W power) were applied to enhance water signal suppression. Each analysis was performed with 128 scans (pulses) and a 4 s relaxation delay to improve the signal-to-noise (S/N) ratio.

Analysis:

Analysis ID:AN006876
Analysis Type:NMR
Num Factors:78
Num Metabolites:53
Results File:ST004147_AN006876_Results.txt
Units:NMR spectral bin intensities (arbitrary units) #NMR_METABOLITE_DATA NMR_METABOLITE_DATA:UNITS

NMR:

NMR ID:NM000316
Analysis ID:AN006876
Instrument Name:Bruker Avance III HD
Instrument Type:FT-NMR
NMR Experiment Type:1D-1H
Spectrometer Frequency:600 MHz
  logo